Data Scientist

We are Looking for just Immediate joiner. (If you can join in a week then only apply)

Work Mode: Hybrid

Experience: 5+ years

Mandatory Institute-IIT ,IIM ,and IIIT.

About the Role

Mandate skills : Python, RAG, LLM, NLP, AWS, MlOps, Machine Learning, Deep Learning, Generative AI

Responsibilities

Help design and build the next iteration of process automation in Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making.

• Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-making data decisions and system control needs.
• Act as an expert and evangelist in the areas of data mining, machine learning, statistics, and predictive analysis and modeling.

Qualifications

• MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization.
• Minimum of 5 years related professional experience.

Required Skills

• Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. We should have expert-level knowledge in one or more of these areas.
• Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms.
• Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc.
• Programming experience with SQL, shell script, Python, etc.
• Knowledge of and ideally some experience with MLOps will be preferred.
• Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis.
• Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques.
• Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions.

Preferred Skills

• Development experience with Java and Scala
• Development experience with Docker
• Development experience with GIS data
• Development experience with NoSQL (i.e. DynamoDB)
• Knowledge of GPU programming (CUDA or OpenCL) on GPU accelerator architecture.